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    3. Gemma-3-12B
    5. 31-GEMMASCOPE-2-RES-16K
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    Explanations

    The neuron fires on multi‐word named entities or dense technical/jargon phrases (e.g. specialized equipment, institutional names, medical or engineering terms).

    oai_token-act-pair · o4-miniTriggered by @jyhe0408
    New Auto-Interp
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    Configuration
    google/gemma-scope-2-12b-pt/resid_post/layer_31_width_16k_l0_medium
    Prompts (Dashboard)
    392,802 prompts, 256 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
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    Negative Logits
    رق
    0.68
    
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    ują
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    ično
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    itumor
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    ifferentiated
    0.62
    ící
    0.61
    roje
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    CURSOR
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    >′
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    POSITIVE LOGITS
     $(\
    0.84
     (
    0.76
     system
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     program
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     tomography
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     Association
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     something
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     techniques
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     framework
    0.63
     of
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    Activations Density 1.127%

    No Known Activations